The program is structured to provide a balanced blend of theoretical foundations, practical system design, and research competence across the evolving landscape of information science. Students will complete a total of 48 credits over a maximum duration of two years, comprising core modules, a capstone seminar, and a Master’s thesis.
Foundations of Information Retrieval and Text Mining
This course introduces the fundamental principles of information retrieval systems and text mining, including indexing, ranking algorithms, search architecture, and natural language processing techniques used in modern digital environments.
Metadata, Ontologies, and Knowledge Organization
Students explore knowledge representation frameworks, including controlled vocabularies, taxonomies, metadata schemas, and ontological structures that support efficient information discovery and interoperability.
Digital Libraries, Archives, and Preservation Technologies
This module examines the technologies and standards used in digital curation, long-term preservation, and access management in library and archival settings.
Information-Seeking Behaviour and User-Centered Systems
Focuses on understanding how individuals and organizations seek, evaluate, and use information. Emphasis is placed on user-centered design principles and usability in interactive retrieval systems.
Data Governance, Curation, and Stewardship
Explores best practices for managing the lifecycle of data assets, including policy development, data quality control, stewardship roles, FAIR principles, and ethical handling of datasets.
Semantic Web, Linked Data, and Ontological Engineering
Students gain expertise in designing machine-readable knowledge structures and linked data frameworks, enabling intelligent information integration on the semantic web.
Information Policy, Regulation, and Ethics
Covers legal and ethical frameworks governing access to information, data privacy, intellectual property, cybersecurity, and information rights within national and international contexts.
Scientific and Scholarly Communication in the Digital Age
Investigates the dynamics of academic publishing, open access, digital repositories, and the transformation of scholarly communication through emerging technologies.
Quantitative and Qualitative Methods in Information Research
Equips students with methodological skills to design, execute, and analyze empirical research in information systems using both statistical and interpretive approaches.
Human–Computer Interaction and Interactive Information Systems
Focuses on the design, evaluation, and implementation of interactive systems that facilitate user interaction with information-rich digital environments.
Capstone Seminar: Proposal Design and Research Ethics (3 Credits)
A research-oriented seminar where students develop a full research proposal, engage in peer review, and address ethical considerations in academic inquiry.
Master’s Thesis / Dissertation (12 Credits)
An independent, original research project addressing a significant issue in information retrieval, knowledge systems, or digital knowledge governance. Supervised by faculty, this thesis demonstrates scholarly contribution and applied understanding.
Admission Requirements: Master’s in Information Retrieval and Knowledge Systems The Master’s Programme in Information Retrieval and Knowledge Systems is a two-year (maximum) postgraduate degree designed to build advanced competencies in digital information systems, knowledge organization, and user-centered retrieval technologies. 1. Duration of the Programme Total Duration: 2 academic years (4 semesters) maximum Includes coursework, a capstone seminar, and a Master’s thesis/dissertation Designed for full-time students, with part-time options subject to approval 2. Academic Qualifications A Bachelor’s degree (minimum Second Class Lower Division) from a recognized university in any of the following or related fields: Information Science / Library Science Computer Science / Information Technology Data Science / Statistics Archival Studies / Records Management Communication Studies / Media Studies Linguistics, Cognitive Science, or Knowledge Engineering 3. Foundational Knowledge Applicants are expected to have basic proficiency in computing, statistics, and academic writing. Prior exposure to digital systems, database tools, or research methods is highly desirable. Programming is not mandatory but recommended. 4. Language Proficiency Applicants must demonstrate proficiency in English. Candidates from non-English-speaking countries must provide evidence through standardized tests such as IELTS or TOEFL, as per institutional guidelines. 5. Supporting Documentation Each applicant must submit: Official academic transcripts and certificates Curriculum Vitae (CV) Personal statement (1–2 pages) detailing academic goals and motivation Two letters of recommendation (academic or professional) 6. Interview (Where Applicable) Shortlisted candidates may undergo a virtual or in-person interview to assess research interest, academic preparedness, and alignment with faculty research areas. 7. Professional Background (Optional but Advantageous) Professionals working in libraries, archives, digital repositories, information systems, or data governance roles may be considered even if their undergraduate degree is in a different discipline, subject to evaluation.